Evaluating the Feasibility of a Dyadic, Touch-Based Multimedia Tablet Intervention and Its Effects on the Caregiver-Patient Relationship Among Individuals With Mild Cognitive Impairment: Qualitative Triangulation Study
Notice bibliographique
Résumé
BACKGROUND: Approximately 20% of the global population is affected by mild cognitive impairment (MCI), with around 15% progressing to dementia within 2 years. Touch-based multimedia applications can support cognitive, social, and physical functioning, potentially enhancing daily life and strengthening caregiver-patient relationships through shared engagement. Although interest in dyadic, technology-assisted interventions is increasing, empirical evidence on their feasibility and acceptability in home-based settings remains scarce. In particular, little is known about their impact on caregiver-care recipient dynamics and the factors that facilitate or hinder their use. OBJECTIVE: We aimed to evaluate the feasibility of a dyadic, tablet-based multimedia intervention for individuals with MCI and their caregivers in a home setting, focusing on user experiences, use barriers and facilitators, and the intervention's impact on the caregiver-patient relationship. METHODS: We applied qualitative triangulation, combining naturalistic observations and semistructured interviews. Data were analyzed using qualitative content analysis. The intervention was codeveloped by a multidisciplinary team and implemented as a user-centered, tablet-based modular platform with customizable cognitive, physical, and interactive exercises. RESULTS: We recruited a total of 40 participants, comprising 20 (50%) individuals with MCI and their 20 (50%) caregivers. Our study confirmed the feasibility of a touch-based multimedia intervention for both groups. Despite initial challenges with navigation and touch interfaces, most participants demonstrated increased confidence and competence, particularly with tailored caregiver support. Instances of enhanced communication and emotional connection were described by care partners and then became visible during their interaction with the intervention. Shared moments of laughter, mutual encouragement, and coordinated task execution indicated that the intervention could create opportunities for relational closeness. Biography-related tasks proved particularly effective, stimulating meaningful conversation and storytelling that facilitated the sharing of personal memories and experiences. While some dyads experienced occasional tensions due to impatience, differing expectations, or dominant behavior by one partner, the overall atmosphere was one of cooperation, support, and adaptability. The intervention demonstrated how technology can serve as a tool to facilitate shared experiences, promote cognitive engagement, and enrich interpersonal relationships in everyday caregiving contexts. CONCLUSIONS: Our findings show that the home-based implementation of a dyadic, touch-based multimedia intervention can be feasible for individuals with MCI and their caregivers. A key finding is that biographically oriented content fosters caregiver-patient relationships by acting as a catalyst for personal dialogues and collective reminiscence. These interactions enhance emotional intimacy and mutual understanding, highlighting the potential of technology-driven interventions in dementia care. The intervention incorporated multiple domains, including cognitive stimulation, physical activation, and communicative-social interaction, all of which proved highly promising. In addition, the regular implementation of the intervention in home settings appears to be a realistic and achievable approach.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».